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GPT-5 nano vs Llama 3.1 Nemotron Ultra 253B v1
Comprehensive side-by-side LLM comparison
GPT-5 nano leads with 3.9% higher average benchmark score. GPT-5 nano supports multimodal inputs. GPT-5 nano is available on 2 providers. Both models have their strengths depending on your specific coding needs.
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OpenAI
GPT-5 Nano was developed as the most compact variant in the GPT-5 family, designed for deployment in resource-constrained environments and edge computing scenarios. Built to bring next-generation AI capabilities to devices and applications where latency and efficiency are paramount, it distills GPT-5 innovations into a minimal footprint.
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NVIDIA
Llama 3.1 Nemotron Ultra 253B was developed as NVIDIA's largest Nemotron variant, designed to provide maximum capability through extensive customization of large-scale foundations. Built with 253 billion parameters and NVIDIA's specialized training, it represents the flagship offering in the Nemotron family.
4 months newer
Llama 3.1 Nemotron Ultra 253B v1
NVIDIA
2025-04-07
GPT-5 nano
OpenAI
2025-08-07
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Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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GPT-5 nano
Average Score:78.2%(+3.9%)
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Llama 3.1 Nemotron Ultra 253B v1
Average Score:74.3%
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Knowledge Cutoff
Training data recency comparison
Llama 3.1 Nemotron Ultra 253B v1
2023-12-01
GPT-5 nano
2024-05-30
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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GPT-5 nano
2 providers
OpenAI
Throughput: 500 tok/s
Latency: 0.3ms
ZeroEval
Throughput: 500 tok/s
Latency: 0.3ms
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GPT-5 nano
Avg Score:78.2%(+3.9%)
Providers:2
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Llama 3.1 Nemotron Ultra 253B v1
Avg Score:74.3%
Providers:0